地下厂房岩锚梁爆破参数优化设计与效果  

Optimization of Blasting Parameters and Its Effect on Anchoring Rock Beam of an Underground Workshop

作　　者：李新平[1] 张成良[1] 陈先仿[2] 李元松[1] 

机构地区：[1]武汉理工大学土木工程与建筑学院,武汉430070 [2]中国葛洲坝集团公司,宜昌443003

出　　处：《武汉理工大学学报》2005年第12期57-60,67,共5页Journal of Wuhan University of Technology

摘　　要：选择具有代表性的实际光面爆破设计参数为样本,确定炸药类型、岩体裂隙发育程度、孔径、孔深、线装药密度、最小抵抗线、间距为影响岩锚梁爆破开挖效果的主要因素,利用神经网络强大的非线性映射能力,建立岩锚梁爆破参数优化模型,进行岩锚梁爆破参数优化设计。在相似地段进行保护层和岩台修面爆破试验,得出现场试验爆破参数,结果表明优化设计值与现场试验值吻合较好。对试验保护层和岩台修面爆破进行声波检测也表明其爆破质量最好,爆破松动圈范围最小。The optimum model for blasting parameters of anchoring rock beam was established and its blasting parameters were optimized through a strong mapped function of the neural network technology with the typical samples of other practical smooth blasting parameters. The explosive types, the extent of joint development of rock mass, the diameter of bore-hole, the depth of bore-hole, the linear charge density, the burden line of least resistance and the spacing of bore-hole were considered as the primary effective factors in the excavation of anchoring rock beam. In the meantime, the experimental blasting parameters for anchoring rock beam were determined by the in-site blasting experiments of the protective layer and platform of rock mass in similar conditions. The results show that these parameters are preferably identical to those of the optimum design. The acoustic wave examination for the blasting of the protective layer and platform of rock mass indicates that the blasting effect is satisfied and its smaller loose ring of surrounding rock mass is obtained.

关 键 词：地下厂房 岩锚梁 爆破参数优化 人工神经网络 

分 类 号：TD235.4[矿业工程—矿井建设]